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competence platform. The platform is hosted at Chalmers, in close collaboration with RISE and multiple industry partners, to develop and utilize well-characterized microbial and digital resources for next
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relevance and specialized expertise on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology
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aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how
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suitability, scientific curiosity, and motivation. Additional merits Experience in one or more of the following areas will be considered a strong advantage: Complex cellular systems, including organoid models
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for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
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postdoctoral researcher in a group studying Parkinson’s disease and other alpha-synuclein–related diseases (alpha-synucleinopathies) within the David Bäckström lab (umu.se), primarily multiple system atrophy
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diseases. Programming knowledge in R or Python is a requirement. The applicant should also have experience in machine learning. Experience in analyzing multiple MRI modalities such as sMRI, DTI and fMRI is
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the employer. Our division provides world-leading research and education in the development of complex and software-intense systems and is characterized by extensive international cooperation as